Data Engineering Weekly

DECEMBER 25, 2023

Integrating AI into data workflows is not just a trend but a paradigm shift, making data processes more efficient and intelligent. Lake House Architectures: The New Frontier Lakehouse architectures have been at the forefront of data engineering discussions this year.

Data Engineer 52

Data Engineer Data Engineering Engineering Unstructured Data 52

Knowledge Hut

NOVEMBER 2, 2023

These Azure data engineer projects provide a wonderful opportunity to enhance your data engineering skills, whether you are a beginner, an intermediate-level engineer, or an advanced practitioner. Who is Azure Data Engineer? Azure SQL Database, Azure Data Lake Storage).

Data Engineer 52

Data Engineer Data Engineering Project Coding 52

Databand.ai

AUGUST 30, 2023

DataOps is a collaborative approach to data management that combines the agility of DevOps with the power of data analytics. It aims to streamline data ingestion, processing, and analytics by automating and integrating various data workflows.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

Knowledge Hut

MARCH 28, 2024

Role Level Intermediate Responsibilities Design and develop data pipelines to ingest, process, and transform data. Implemented and managed data storage solutions using Azure services like Azure SQL Database , Azure Data Lake Storage, and Azure Cosmos DB.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Warehouse 52

Knowledge Hut

NOVEMBER 17, 2023

They enhance data pipelines, transform data, and guarantee the accuracy, integrity, and compliance of the data. Their job entails Azure data engineer skills like using big data, databases, data lakes, and analytics to help firms make efficient data-driven decisions.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Lake 52

DataKitchen

JANUARY 25, 2022

DataOps improves the robustness, transparency and efficiency of data workflows through automation. For example, DataOps can be used to automate data integration. Previously, the consulting team had been using a patchwork of ETL to consolidate data from disparate sources into a data lake.

Consulting 97

Consulting Recruitment Data Lake Data Engineer 97

Knowledge Hut

DECEMBER 28, 2023

An Azure Data Engineer is responsible for designing, implementing and managing data solutions on Microsoft Azure. The Azure Data Engineer certification imparts to them a deep understanding of data processing, storage and architecture. It also shows that they can manage data workflows across various Azure services.

Certification 52

Certification Data Engineer Data Engineering Engineering 52

Monte Carlo

JUNE 14, 2023

5 Data pipeline architecture designs and their evolution The Hadoop era , roughly 2011 to 2017, arguably ushered in big data processing capabilities to mainstream organizations. Data then, and even today for some organizations, was primarily hosted in on-premises databases with non-scalable storage.

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

phData: Data Engineering

SEPTEMBER 29, 2023

When it comes to fraud detection and risk assessment, every moment counts, and being able to leverage mass amounts of data in real time is a true differentiator. The client needed a partner to set up a cloud data platform and operationalize the new reporting, alerting, and QA environment.

Data Engineer 52

Data Engineer Data Engineering Engineering Algorithm 52

Workfall

JUNE 12, 2023

CDC also plays a crucial role in data integration and ETL processes. It captures incremental changes from transactional databases or other sources, efficiently loading them into data warehouses or data lakes. and we have now migrated the data from our transactional database to the Snowflake data warehouse.

Telecommunication 80

Telecommunication Metadata Healthcare Finance 80

Cloudera

AUGUST 21, 2020

Data-in-motion is predominantly about streaming data so enterprises typically have two different ways or binary ways of looking at data. Can you talk about some of the technology that helps make managing live streaming data possible? Cloudera DataFlow offers the capability for Edge to cloud streaming data processing.

Banking 62

Banking Kafka Cloud Storage Government 62

Knowledge Hut

MAY 23, 2024

Users can also leverage it for generating interactive visualizations over data. It also comes with lots of automation techniques that qualify users to eliminate manual data workflows. Python: Python is, by far, the most widely used data science programming language. Big Data Tools 23.

Data Science 52

Data Science MongoDB Programming Language Hadoop 52

AltexSoft

NOVEMBER 7, 2022

DevOps tasks — for example, creating scheduled backups and restoring data from them. Airflow is especially useful for orchestrating Big Data workflows. Airflow is not a data processing tool by itself but rather an instrument to manage multiple components of data processing. When Airflow won’t work.

PostgreSQL 52

PostgreSQL Metadata Python MySQL 52

phData: Data Engineering

JANUARY 3, 2022

One of our customers needed the ability to export/import data between systems and create data products from this source data. This required applying transformations and filters to the data for various business units. The data was being stored in their data lake (AWS S3) and within their data warehouse (AWS Redshift).

IT 52

IT AWS Software Engineer Software Engineering 52

Knowledge Hut

SEPTEMBER 29, 2023

Microsoft Data Engineer Certification is one such certification which is most sought after by professionals. By combining data from various structured and unstructured data systems into structures, Microsoft Azure Data Engineers will be able to create analytics solutions.

Certification 52

Certification Data Engineer Data Engineering Engineering 52

Edureka

JULY 3, 2024

It then gathers and relocates information to a centralized hub in the cloud using the Copy Activity within data pipelines. Transform and Enhance the Data: Once centralized, data undergoes transformation and enrichment. Copy Activity: Utilize the copy activity to orchestrate data movement. Now that’s a power couple.

Pipeline-centric 52

Pipeline-centric Data Lake Database-centric Data Pipeline 52

AltexSoft

MARCH 14, 2023

As the volume and complexity of data continue to grow, organizations seek faster, more efficient, and cost-effective ways to manage and analyze data. In recent years, cloud-based data warehouses have revolutionized data processing with their advanced massively parallel processing (MPP) capabilities and SQL support.

IT 59

IT Data Warehouse Data Governance Data Lake 59

Snowflake

JULY 22, 2024

From there, you can address more complex use cases, such as creating a 360-degree view of customers by integrating systems across CRM, ERP, marketing applications, social media handles and other data sources. top modernizing your data lake with Snowflake, watch our on demand webinar.

Government 98

Government Cloud Data Hadoop 98